We consider trade-offs between the cumulative utility of the \(q\)  fraction of worst-off users, where \(q\in \lbrace 0.25, 0.5\rbrace ,\)  and inequality between items measured by the Gini index, as in [1]}. For this task, we instantiate the two-sided GGF \(F_{\lambda ,{w^1},{w^2}}\)  as follows: the GGF for users is given by Eq. (REF ) with parameters \((q, \omega )\)  in \(\lbrace 0.25, 0.5\rbrace  \times \lbrace 0.25, 0.5, 1\rbrace \) , and the GGF for items uses the Gini index weights \(w_j = \frac{m-j+1}{m}.\)  We generate trade-offs between user fairness and item fairness by varying \(\lambda \in (0,1).\)
